Karen Lipkow

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Research Summary

Research in our lab focuses on the three-dimensional organisation of the eukaryotic genome. We are taking an integrated approach to analyse its structure, individual variability and dynamics. Our analysis is aimed at revealing common rules linking changes in genome organisation to the regulation of gene expression.

We are investigating various aspects of genome architecture using detailed computational models of the nucleus, quantitative fluorescent live cell microscopy, chromatin conformation capture (3C, Hi-C), functional genomics and proteomics.

The questions we are addressing are how does genome structure change over time and in response to external conditions, which are the molecular and biophysical mechanisms responsible for these changes, and which are the biological consequences. We maintain an interest in spatial aspects of signalling in the bacterial chemotaxis system.

Latest Publications

The linear molecules of DNA that constitute a eukaryotic genome have to be carefully organised within the nucleus to be able to correctly direct gene expression. Microscopy and chromosome capture methods have revealed a hierarchical organisation into territories, domains and subdomains that ensure the accessibility of expressed genes and eventually chromatin loops that serve to bring gene enhancers into proximity of their target promoters. A rapidly growing number of genome-wide datasets and their analyses have given detailed information into the conformation of the entire genome, allowing evolutionary insights, observations of genome rearrangements during development and the identification of new gene-to-disease associations. The field is now progressing into using computational models of genome dynamics to investigate the mechanisms that shape genome structure, placing increasing importance on the role of chromatin associated proteins for this process.

The linear and three-dimensional arrangement and composition of chromatin in eukaryotic genomes underlies the mechanisms directing gene regulation. Understanding this organization requires the integration of many data types and experimental results. Here we describe the approach of integrating genome-wide protein-DNA binding data to determine chromatin states. To investigate spatial aspects of genome organization, we present a detailed description of how to run stochastic simulations of protein movements within a simulated nucleus in 3D. This systems level approach enables the development of novel questions aimed at understanding the basic mechanisms that regulate genome dynamics.

We present a computational model of transcription factor motion that explains both the observed rapid target finding of transcription factors, and how this motion influences protein and genome structure. Using the Smoldyn software, we modelled transcription factor motion arising from a combination of unrestricted 3D diffusion in the nucleoplasm, sliding along the DNA filament, and transferring directly between filament sections by intersegmental transfer. This presents a fine-grain picture of the way in which transcription factors find their targets two orders of magnitude faster than 3D diffusion alone allows. Eukaryotic genomes contain sections of nucleosome free regions (NFRs) around the promoters; our model shows that the presence and size of these NFRs can be explained as their acting as antennas on which transcription factors slide to reach their targets. Additionally, our model shows that intersegmental transfer may have shaped the quaternary structure of transcription factors: sequence specific DNA binding proteins are unusually enriched in dimers and tetramers, perhaps because these allow intersegmental transfer, which accelerates target site finding. Finally, our model shows that a 'hopping' motion can emerge from 3D diffusion on small scales. This explains the apparently long sliding lengths that have been observed for some DNA binding proteins observed in vitro. Together, these results suggest that transcription factor diffusion dynamics help drive the evolution of protein and genome structure.